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route","\u002Fthank-you",{},"data\u002Fshared\u002Furls","P27xKEauu8D-8sfyr0wR4giF0teFSaCuAQ8kgcICQdI",{"id":590,"title":591,"author":592,"authorPhoto":593,"authorPhotoAlt":594,"authorSlug":595,"body":596,"buttonText":784,"buttonUrl":594,"category":785,"date":786,"description":787,"draft":788,"editorsPick":788,"extension":789,"featured":788,"image":790,"imageAlt":594,"meta":791,"navigation":20,"ogImage":594,"ogImageAlt":594,"path":792,"seo":793,"stem":794,"tags":594,"__hash__":795},"blog\u002Fblog\u002Fspencer-gallardo-ai-summit.md","AI that knows: using RAG to work smarter","The Pieces Team","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fdevops-platforms\u002Fauthor.png",null,"the-pieces-team",{"type":597,"value":598,"toc":773},"minimark",[599,603,606,611,614,617,620,623,626,630,633,644,647,655,658,661,664,668,671,674,677,680,683,686,689,693,696,699,702,705,708,712,715,718,721,724,728,731,754,757,760,764,767,770],[600,601,602],"p",{},"At the Pieces AI Productivity Summit, Salesforce Solutions Engineer Spencer Gallardo shared his journey with AI in the enterprise, highlighting how Retrieval Augmented Generation (RAG) has transformed his work.",[600,604,605],{},"Speaking from years of experience, Gallardo offered a first-hand look at how a high-growth environment like Salesforce integrates RAG into daily operations to drive productivity and reduce friction.",[607,608,610],"h2",{"id":609},"from-manual-context-switching-to-ai-acceleration","From manual context switching to AI acceleration",[600,612,613],{},"Spencer opened by describing the challenges he faced in his day-to-day workflow: managing multiple client calls, building custom demo environments, digging through fragmented documentation, and juggling open browser tabs. These distractions often derailed productivity.",[600,615,616],{},"Searching for the right information or recreating resources from scratch was time-consuming and mentally draining.",[600,618,619],{},"The introduction of large language models (LLMs) like GPT was a turning point. At first, they helped with general coding and research tasks.",[600,621,622],{},"But Spencer needed more than just autocomplete capabilities – he needed answers grounded in Salesforce-specific knowledge, something broader models couldn’t deliver on their own.",[600,624,625],{},"That’s when RAG became a core part of his toolkit.",[607,627,629],{"id":628},"what-is-rag-and-why-it-matters","What is RAG and why it matters",[600,631,632],{},"RAG, or Retrieval Augmented Generation, is an AI architecture that combines pre-trained models with external, domain-specific data.",[600,634,635,636,643],{},"It ",[637,638,642],"a",{"href":639,"rel":640},"https:\u002F\u002Fpieces.app\u002Fblog\u002Ftext-segmentation-in-rag",[641],"nofollow","retrieves content"," from trusted sources, structured or unstructured, and integrates it into the LLM’s response.",[600,645,646],{},"This ensures outputs are tailored and relevant to a company’s internal systems, documentation, and customer scenarios.",[600,648,649,650,654],{},"For Salesforce, this means ",[651,652,653],"em",{},"combining generative AI with internal data like Confluence pages, Slack conversations, PDFs, and knowledge articles",".",[600,656,657],{},"The result is faster access to relevant information with better precision.",[600,659,660],{},"Spencer explained how asking internal questions like “How do I activate Agent Force for a customer in the healthcare industry?” used to take hours.",[600,662,663],{},"Now, with RAG, responses are immediate and accurate because they’re grounded in Salesforce’s proprietary data.",[607,665,667],{"id":666},"real-world-use-cases-inside-salesforce","Real-world use cases inside Salesforce",[600,669,670],{},"Spencer detailed several use cases where RAG and internal AI agents have improved workflows.",[600,672,673],{},"Salesforce’s internal AI, Agent Force, is configured to surface insights from a wide array of internal data streams.",[600,675,676],{},"It can answer complex questions, trigger internal automations, and retrieve exact documentation or links – all from a natural language query.",[600,678,679],{},"He also outlined how this system enables support for enterprise-scale products, which often evolve quickly and span multiple teams.",[600,681,682],{}," With RAG, the AI can handle customer-specific questions about product features, compliance requirements, and use-case recommendations with depth and accuracy.",[600,684,685],{},"The system is designed to understand a user’s intent, retrieve vectorized knowledge, and deliver a grounded response.",[600,687,688],{},"Spencer highlighted this with a demo showing how a simple query about resetting an Okta password could trigger a guided workflow, leveraging internal documentation and issuing a direct action – all within seconds.",[607,690,692],{"id":691},"from-internal-tools-to-personal-projects","From internal tools to personal projects",[600,694,695],{},"Spencer emphasized that RAG’s value extends beyond the enterprise.",[600,697,698],{},"He uses it for personal projects, including health tracking and YouTube content development. By connecting his personal data, like meal logs and content ideas, to a cloud backend and AI assistant, he’s able to generate weekly meal plans and analyze trends without manual tracking.",[600,700,701],{},"Tools like Notebook LM, a Google-powered UI for RAG, have been especially helpful.",[600,703,704],{},"With no advanced coding required, users can upload documents, URLs, or personal notes and get AI-powered answers grounded in those inputs.",[600,706,707],{}," He demonstrated how even simple use cases, like installing a software product, benefit from personalized RAG-driven responses.",[607,709,711],{"id":710},"enabling-teams-and-customers-alike","Enabling teams and customers alike",[600,713,714],{},"In his role, Spencer also supports enterprise clients building similar AI-enabled solutions.",[600,716,717],{},"He mentioned companies using RAG to enhance IT support workflows – automating password resets or surfacing relevant helpdesk content as well as customer-facing implementations for industries like sports and entertainment.",[600,719,720],{},"These organizations are using RAG to improve self-service experiences, enabling customers to ask complex questions and receive contextual answers without human intervention.",[600,722,723],{},"It reduces response time and increases confidence in AI as a reliable support layer.",[607,725,727],{"id":726},"building-with-rag-is-a-practical-path-forward","Building with RAG is a practical path forward",[600,729,730],{},"Spencer closed with a few steps for teams or individuals looking to adopt RAG:",[732,733,734,742,748],"ul",{},[735,736,737,741],"li",{},[738,739,740],"strong",{},"Start with a clear use case"," – FAQs, note syncing, or support queries are good starting points.",[735,743,744,747],{},[738,745,746],{},"Identify where knowledge lives"," – whether in Google Docs, Notion, Slack, or other platforms.",[735,749,750,753],{},[738,751,752],{},"Use available frameworks and UIs"," – like Notebook LM or your own agent architecture.",[600,755,756],{},"The emphasis was on starting small, validating results, and scaling from early wins. For Gallardo, what once took hours now takes minutes.",[600,758,759],{},"Tasks like demo prep, previously a two-hour effort, can now be completed in under 15 minutes with the help of RAG.",[607,761,763],{"id":762},"the-bottom-line","The bottom line",[600,765,766],{},"Spencer’s presentation was a practical walkthrough of how RAG is more than a buzzword, it’s an enabler for productivity, both in professional environments and personal projects.",[600,768,769],{},"By combining enterprise data with generative models, Salesforce has streamlined complex tasks, improved internal collaboration, and empowered employees to work smarter.",[600,771,772],{},"As AI continues to integrate into daily workflows, Spencer’s talk served as both a blueprint and a motivation for others looking to harness the power of contextual AI.",{"title":774,"searchDepth":775,"depth":775,"links":776},"",2,[777,778,779,780,781,782,783],{"id":609,"depth":775,"text":610},{"id":628,"depth":775,"text":629},{"id":666,"depth":775,"text":667},{"id":691,"depth":775,"text":692},{"id":710,"depth":775,"text":711},{"id":726,"depth":775,"text":727},{"id":762,"depth":775,"text":763},"Get started","Insights","2025-05-13T00:00:00.000Z","Work smarter with AI that knows your context. 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